Engineering Manager

• Line-manage, coach, and develop Engineering Leads across multiple teams
• Own performance management, career development, succession planning, and performance improvement plans
• Own delivery confidence across teams, including cross-team planning, dependencies, risk, forecasting, and escalation reduction
• Partner with Product, Architecture, and Professional Services on scope, sequencing, and trade-offs
• Work with the VP and stakeholders on the agentic delivery lifecycle from specification through implementation, review, testing, and release
• Decide where AI agents lead, where humans lead, and where human sign-off is required
• Work hands-on in Cursor and Flow Next alongside individual contributors and Engineering Leads
• Create versioned, reusable prompts, skills, and context as engineering artefacts
• Build evaluation into the quality system and collaborate with Platform Engineering, Architecture, Cloud, and Security on model access, observability, audit trails, and cost
• Deliver and use metrics and KPIs covering quality, flow, predictability, team health, and AI effectiveness
• Establish standards for engineering process, Agile practices, technical quality, and AI-assisted career paths
• Report to the VP of Engineering
• Improve delivery quality, speed, predictability, and committed-date performance across teams